Engineering Manager

hace 1 semana

Madrid, Madrid, España IAG Tech A tiempo completo

Descripción de la empresa About IAG Tech**IAG Tech is a community of IT and digital professionals from across the International Airlines Group (IAG). We drive the technology behind some of the biggest and most successful brands in global aviation, including British Airways, Aer Lingus, and Iberia.

Brought together in 2019, we are a unique community with a shared vision to deliver Technology Excellence and be recognised as industry leaders in the use of technology.

Our mission is to delight customers, enable employees, accelerate business performance, protect our business and increase shareholder value, through the innovative and agile use of technology and data.

We use product-centric delivery teams using agile methods to implement new capabilities at pace and maximise business outcomes.

With a relentless focus on improving system performance and stability, we continually strive to find new and better ways to innovate and support the Group.


Our Values
At IAG Tech we share common values to help us create the right culture to underpin our thriving community:

Innovation | we value identifying new ways of using technology to solve business challenges

Empowerment | we value giving people the freedom to operate, that they take accountability, and collaborate with colleagues

Professionalism | we value having and developing the right knowledge and competency to be able to do our jobs to the best of our ability

Transparency | we value honesty and integrity and always share the reality in a manner the business understands

Agility | we value responsiveness, speed and flexibility in everything we do

We celebrate when we see great examples of our values in action and challenge each other when we see these values being ignored.


Descripción del empleo Role Description**The Engineering Manager is a key leadership role in the software engineering domain, responsible for defining and executing the technical strategy, roadmaps, and related decisions. They play a crucial role in driving the success of the organization by overseeing the technical aspects of product initiatives, ensuring efficient and effective delivery, and fostering a collaborative and innovative work environment.

Responsibilities

  • Define and execute the technical strategy, roadmaps, and related decisions for the engineering teams.
  • Provide technical guidance and mentorship to team members, ensuring their professional growth and development.
  • Manage the technical career paths, technical skills, and structure of the engineering teams.
  • Make datadriven decisions regarding engineering performance and capabilities.
  • Foster a culture of collaboration, innovation, and continuous improvement within the engineering team.
  • Collaborate with crossfunctional teams, including product managers, designers, and stakeholders, to align on technical requirements and deliverables.
  • Identify and mitigate risks and issues that may impact product delivery or team performance.
  • Work with the engineering team, product owners, and stakeholders to define key metrics related to code quality and delivery. These metrics could include code coverage, code complexity, defect density, build and deployment frequency, lead time for changes, cycle time, and customer satisfaction metrics.
  • Establish baseline metrics to understand the current state of code quality and delivery performance. Set achievable targets for improvement based on industry benchmarks, organizational goals, and feedback from stakeholders. Regularly monitor progress towards these targets and adjust strategies as needed.
  • Implement metrics to track the performance of individual team members and product teams. This could include metrics related to code contributions, code review effectiveness, sprint velocity, and adherence to coding standards and best practices. Provide regular feedback to team members based on these metrics to drive continuous improvement.
  • Foster a culture of accountability and transparency by making code quality and delivery metrics visible to all team members. Display dashboards and reports in shared spaces or virtual collaboration platforms to encourage awareness and discussion around performance metrics. Encourage team members to take ownership of their contributions and strive for improvement.
  • Use data analytics techniques to identify patterns and trends in code quality and delivery metrics over time. Look for correlations between different metrics and external factors such as project complexity, team dynamics, and changes in technology stack. Use these insights to make datadriven decisions and prioritize improvement efforts.
  • Assess the skills, expertise, and capacity of the existing engineering team(s) to determine their ability to deliver on the technical requirements identified. Identify any skill gaps or resource constraints that may need to be addressed.
  • Based on the technical requirements and the capabilities of the engineering team, pr

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